docstr: Load specified Orca checkpoint.
  
  :param path: checkpoint directory which contains model.* and
  optimMethod-TFParkTraining.* files.
  :param version: checkpoint version, which is the suffix of model.* file,
  i.e., for modle.4 file, the version is 4.
docstr_tok: ["Load","specified","Orca","checkpoint",".",":","param","path",":","checkpoint","directory","which","contains","model",".","*","and","optimMethod-TFParkTraining",".","*","files",".",":","param","version",":","checkpoint","version",",","which","is","the","suffix","of","model",".","*","file",",","i.e.",",","for","modle.4","file",",","the","version","is","4","."]
code: def load_orca_checkpoint(self, path, version):
      """
      Load specified Orca checkpoint.
  
      :param path: checkpoint directory which contains model.* and
      optimMethod-TFParkTraining.* files.
      :param version: checkpoint version, which is the suffix of model.* file,
      i.e., for modle.4 file, the version is 4.
      """
      raise NotImplementedError
  
file_path: analytics-zoo/pyzoo/zoo/orca/learn/spark_estimator.py
imports: from abc import abstractmethod
  from zoo.orca.learn.base_estimator import BaseEstimator
label_desc: Use image node_id 13 for calling the Estimator obj's underlying member method code with example usage: obj.load_orca_checkpoint(path, version) without return types